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High-Speed ​​Parallel True Random Number Generator with Scalability

A true random number and generator technology, applied in the field of high-speed parallel true random number generators, can solve problems such as insufficient code rate and poor scalability, overcome inherent periodicity, meet large-scale parallel computing and high-speed security networks The effect of communication

Active Publication Date: 2017-11-14
TAIYUAN UNIV OF TECH
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  • Abstract
  • Description
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Problems solved by technology

[0017] The purpose of the present invention is to provide a high-speed parallel true random number generator with scalability to solve the problems of insufficient code rate and poor scalability in the above-mentioned prior art

Method used

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  • High-Speed ​​Parallel True Random Number Generator with Scalability
  • High-Speed ​​Parallel True Random Number Generator with Scalability
  • High-Speed ​​Parallel True Random Number Generator with Scalability

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Embodiment Construction

[0041]A scalable high-speed parallel true random number generator of the present invention utilizes a supercontinuum pulse sequence with a high repetition rate and a large random fluctuation in intensity generated by a supercontinuum entropy source as a random number extraction source, and adopts an array The waveguide grating 5 is spectrally cut to obtain N A narrow-band sub-optical pulse sequence with a high repetition rate and a large random fluctuation in intensity, through N The polarization-maintaining fiber enters the dispersion compensating fiber array 6, and time-domain broadening occurs under the action of the corresponding dispersion compensating fiber, and then passes through another N The polarization-maintaining optical fiber enters the photodetector array 7 and is converted into a corresponding electrical pulse sequence by the respective photodetectors, and finally passes through N The cables enter the analog-to-digital converter array 8, and are quantized into...

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Abstract

A super-expandable high-speed parallel true random number generator uses a supercontinuum entropy source to input the pulse sequence into the arrayed waveguide grating, and then cuts it into N-channel narrow-band sub-optical pulse sequences, and then passes N-channel protection When the polarized fiber enters the dispersion compensating fiber array, time-domain broadening occurs, and then it is converted into a corresponding electrical pulse sequence through another N-way polarization-maintaining fiber input photodetector array, and finally enters the analog-to-digital converter array through N-way cables for quantization into N-way independent High-speed parallel true random code sequence. The single-channel code rate of the present invention can reach the order of ten Gbps, and can output at least N=1000 independent parallel true random codes at the same time, which improves the scalability of the existing parallel true random number generator by at least 3~4 The order of magnitude can greatly meet the needs of modern large-scale parallel computing and high-speed secure network communication.

Description

technical field [0001] The invention relates to a parallel random number generator, in particular to a scalable high-speed parallel true random number generator, which is applied to the fields of Monte Carlo simulation, large-scale parallel computing and secure communication. Background technique [0002] Monte Carlo simulation has important applications in nuclear physics, computational chemistry, biomedicine, financial engineering, macroeconomics and other fields. Random number is the cornerstone of Monte Carlo simulation, its quality determines the accuracy of Monte Carlo simulation, and its rate restricts the simulation speed; and the more random numbers consumed in simulation, the higher the quality requirements for random numbers. [0003] With the increasing complexity of the calculation model and the increasing amount of calculations, the current Monte Carlo simulation generally uses multiple processors to execute concurrently, that is, "parallel Monte Carlo simulati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F7/58
Inventor 李璞王云才张建国张建忠王安帮张明江王冰洁
Owner TAIYUAN UNIV OF TECH
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